when(mockDeferredBuffer.dec_ndr_string()).thenReturn("DecodedShare", "Decoded Remark");

        shareInfo1.decode(mockNdrBuffer);

        assertEquals("DecodedShare", shareInfo1.netname);
        assertEquals(2, shareInfo1.type);
        assertEquals("Decoded Remark", shareInfo1.remark);
        verify(mockNdrBuffer).align(4);
        verify(mockNdrBuffer, times(3)).dec_ndr_long();

     */
    public void enc_ndr_small(final int s) {
        this.buf[this.index] = (byte) (s & 0xFF);
        advance(1);
    }

    /**
     * Decodes a small integer (1 byte) from NDR format.
     *
     * @return the decoded small integer value
     */
    public int dec_ndr_small() {
        final int val = this.buf[this.index] & 0xFF;
        advance(1);
        return val;
    }

            byte[] buffer = new byte[bufferSize];
            FileFsSizeInformation info = new FileFsSizeInformation();

            int decoded = info.decode(buffer, 0, Math.min(bufferSize, 24));

            assertEquals(24, decoded);
        }
    }

    }

    @ParameterizedTest(name = "decode({1}) -> {2}")
    @MethodSource("decodeProvider")
    void testDecode(String encoded, byte[] expected) {
        // Act
        byte[] actual = Base64.decode(encoded);
        // Assert
        assertArrayEquals(expected, actual, "Base64.decode should return original bytes");
    }

    @Test

        if (rem == 0) {
            return 0;
        }
        return 8 - rem;
    }

    @Override
    public int decode(final byte[] buffer, final int bufferIndex) throws SMBProtocolDecodingException {
        return decode(buffer, bufferIndex, false);
    }

    /**
     * Decodes the SMB2 message from the buffer.
     *
     * @param buffer the buffer containing the message

# JSON Compatible Encoder { #json-compatible-encoder }

There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc).

For example, if you need to store it in a database.

For that, **FastAPI** provides a `jsonable_encoder()` function.

## Using the `jsonable_encoder` { #using-the-jsonable-encoder }

🎏 🌌, 👉 💽 🚫🔜 📨 Pydantic 🏷 (🎚 ⏮️ 🔢), 🕴 `dict`.

👆 💪 ⚙️ `jsonable_encoder` 👈.

⚫️ 📨 🎚, 💖 Pydantic 🏷, & 📨 🎻 🔗 ⏬:

{* ../../docs_src/encoder/tutorial001.py hl[5,22] *}

👉 🖼, ⚫️ 🔜 🗜 Pydantic 🏷 `dict`, & `datetime` `str`.

같은 방식으로 이 데이터베이스는 Pydantic 모델(속성이 있는 객체)을 받지 않고, `dict` 만을 받습니다.

이를 위해 `jsonable_encoder` 를 사용할 수 있습니다.

Pydantic 모델과 같은 객체를 받고 JSON 호환 가능한 버전으로 반환합니다:

{* ../../docs_src/encoder/tutorial001.py hl[5,22] *}

이 예시는 Pydantic 모델을 `dict`로, `datetime` 형식을 `str`로 변환합니다.

Você pode usar a função `jsonable_encoder` para resolver isso.

A função recebe um objeto, como um modelo Pydantic e retorna uma versão compatível com JSON:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

Neste exemplo, ele converteria o modelo Pydantic em um `dict`, e o `datetime` em um `str`.

            for (int i = 0; i < padding; i++) {
                buf.enc_ndr_small(0);
            }
        }
    }

    /**
     * Decodes a wide string pointer from NDR format.
     *
     * @param buf the NDR buffer
     * @return the decoded string (or null if NULL pointer)
     * @throws NdrException if decoding fails
     */
    private String decodeWideStringPointer(NdrBuffer buf) throws NdrException {